Topics / #instance-segmentation

Instance-segmentation projects on GitHub

Computer vision models that outline individual objects at pixel level.

As of , the most-starred Instance-segmentation projects on GitHub are ultralytics (62.6K stars), yolov5 (58.2K stars) and supervision (51.2K stars). GitHub.Locker tracks 13 Instance-segmentation repositories with 363.9K stars combined. The fastest-growing on October 16 was ultralytics, with +29 stars in a day.

13Projects
363.9KStars in total
+69Stars in a day
Browse in the catalog →github.com/topics/instance-segmentation ↗

Hot right now

Most stars gained in a day · Oct 16

+29

ultralytics

ultralytics/ultralytics · ★ 62.6K

Ultralytics YOLO is a family of state-of-the-art computer vision models (YOLO26, YOLO11, YOLOv8, etc.) covering object detection, instance segmentation, semantic segmentation, image classification, pose estimation, oriented object detection, depth estimation, and multi-object tracking in video.

+11

X-AnyLabeling

CVHub520/X-AnyLabeling · ★ 10.7K

A free cross-platform desktop app for AI-assisted annotation of text, image, video, and multimodal data — manual labeling tools plus built-in deep learning models that pre-label or batch-annotate, with multi-format export.

+9

supervision

roboflow/supervision · ★ 51.2K

Supervision is a Python library with reusable computer vision building blocks: detection/segmentation/classification result handling, annotators, trackers, and dataset utilities that plug into any model.

+7

detectron2

facebookresearch/detectron2 · ★ 34.9K

Detectron2 is Facebook AI Research's next-generation library for object detection, segmentation and other visual recognition tasks, with state-of-the-art algorithms.

The all-time top

13 projects · by stars

  1. #1 · ultralytics/ultralytics

    ultralytics

    Ultralytics YOLO is a family of state-of-the-art computer vision models (YOLO26, YOLO11, YOLOv8, etc.) covering object detection, instance segmentation, semantic segmentation, image classification, pose estimation, oriented object detection, depth estimation, and multi-object tracking in video.

    62.6K
  2. #2 · ultralytics/yolov5

    yolov5

    YOLOv5 is a fast, accurate, and easy-to-use computer vision model from Ultralytics for object detection, instance segmentation, and image classification, built on PyTorch.

    58.2K
  3. #3 · roboflow/supervision

    supervision

    Supervision is a Python library with reusable computer vision building blocks: detection/segmentation/classification result handling, annotators, trackers, and dataset utilities that plug into any model.

    51.2K
  1. 4

    detectron2

    34.9Kfacebookresearch/detectron2 · Python

    Detectron2 is Facebook AI Research's next-generation library for object detection, segmentation and other visual recognition tasks, with state-of-the-art algorithms.

  2. 5

    mmdetection

    33Kopen-mmlab/mmdetection · Python

    MMDetection is an open source object detection toolbox built on PyTorch, part of the OpenMMLab project, that supports object detection, instance segmentation, panoptic segmentation, and semi-supervised detection.

  3. 6

    deep-learning-for-image-processing

    26.4KWZMIAOMIAO/deep-learning-for-image-processing · Python

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

  4. 7

    Mask_RCNN

    25.6Kmatterport/Mask_RCNN · Python

    An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.

  5. 8

    labelme

    16.2Kwkentaro/labelme · Python

    Labelme is a graphical image annotation tool written in Python: you draw polygons, rectangles, circles, lines and points on images to build labeled datasets for computer vision work.

  6. 9

    Swin-Transformer

    16.1Kmicrosoft/Swin-Transformer · Python

    The official Microsoft implementation of the Swin Transformer paper and its follow-ups: a hierarchical vision Transformer that computes attention with shifted windows and serves as a general-purpose backbone for computer vision tasks.

  7. 10

    PaddleDetection

    14.4KPaddlePaddle/PaddleDetection · Python

    PaddleDetection is an object detection toolkit built on the PaddlePaddle deep learning framework, covering object detection, instance segmentation, multi-object tracking, and keypoint detection.

  8. 11

    yolov7

    14.2KWongKinYiu/yolov7 · Jupyter Notebook

    This is the official PyTorch implementation of YOLOv7, a real-time object detection model that achieved new state-of-the-art speed/accuracy results using a technique the authors call 'trainable bag-of-freebies'.

  9. 12

    X-AnyLabeling

    10.7KCVHub520/X-AnyLabeling · Python

    A free cross-platform desktop app for AI-assisted annotation of text, image, video, and multimodal data — manual labeling tools plus built-in deep learning models that pre-label or batch-annotate, with multi-format export.

  10. 13

    WorldSculpt

    342AlayaLab/WorldSculpt · Python

    WorldSculpt is the official implementation of a research method that turns grounded video into 3D scenes: from RGB images with instance masks and 3D boxes it builds a compositional mesh of very complex scenes with hundreds of individual objects.

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